Senior Software Engineer II

American Express

Bengaluru, India

8-10 Years

This job is no longer accepting applications

Posted a month ago

Job Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role

Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.

In The role of Sr Software Engineer II, you will be responsible for taking on the role of an individual contractor for the GCP applications which is critical in the Amex environment.

We develop Engineering Development strategic frameworks, processes, tools and actionable insights.

As a Data Engineer, you will be responsible for designing, developing, and maintaining robust and scalable framework/services/application/pipelines for processing huge volume of data. You will work closely with cross-functional teams to deliver high-quality software solutions that meet our organizational needs.

· Preferably a B.Tech or M.Tech degree in computer science, computer engineering, or other technical discipline 

· 8+ years of software development experience

· GCP Architecture design and build solutions, SQL, PySpark, Python, Cloud technologies

· Design and develop solutions using Bigdata tools and technologies like MapReduce, Hive, Spark etc.

· Extensive hands-on experience in GCP and object-oriented programming using Python, PySpark etc.

· Experience in building data pipelines for huge volume of data.

· Experience in designing, implementing, and managing various ETL job execution flows.

· Experience in implementing and maintaining Data Ingestion process.

· Hands on experience in writing basic to advance level of optimized queries using HQL, SQL & Spark.

· Hands on experience in designing, implementing, and maintaining Data Transformation jobs using most efficient tools/technologies.

· Ensure the performance, quality, and responsiveness of solutions.

· Participate in code reviews to maintain code quality.

· Should be able to write shell scripts.

· Utilize Git for source version control.

· Set up and maintain CI/CD pipelines.

· Troubleshoot, debug, and upgrade existing application & ETL job chains.

· Ability to effectively interpret technical and business objectives and challenges and articulate solutions 

· Experience with managing teams and balance multiple priorities. 

· Willingness to learn new technologies and exploit them to their optimal potential 

· Strong experience with Data Engineering, Big Data Applications

· Strong background with Python, PySpark , Java , Airflow , Spark , PL/SQL, Airflow Dags 

· Cloud experience with GCP is must 

· Conduct IT requirements gathering.  

· Define problems and provide solution alternatives.  

· Create detailed computer system design documentation.  

· Implement deployment plan.  

· Conduct knowledge transfer with the objective of providing high-quality IT consulting solutions 

· Support consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation, design and deployment. 

· Under supervision participate in unit-level and organizational initiatives with the objective of providing high-quality and value adding consulting solutions. 

· Understand issues and diagnose root-cause of issues. Perform secondary research as instructed by supervisor to assist in strategy and business planning. 

· Excellent communication and analytical skills 

· Excellent team-player with ability to work with global team 

Minimum Qualifications

8+ years of experience in cloud applications with experience in leading a team

Industry knowledge on GCP Cloud Applications and deployment.

Bachelor's degree in Computer Science Engineering, or a related field.

Proven experience as Data Engineer or similar role.

Strong proficiency in Object Oriented programming using Python/PySpark.

Experience with ETL jobs design principles.

Solid understanding of HQL, SQL and data modelling.

Preferred Qualifications

Bachelor's degree in Computer Science Engineering, or a related field.

Proven experience as Data Engineer or similar role.

Strong proficiency in Object Oriented programming using Python.

Experience with ETL jobs design principles.

Solid understanding of HQL, SQL and data modelling.

Knowledge on Unix/Linux and Shell scripting principles.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.